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Lab 2
1. What is the difference between the mean and the median?
2. When would median be a better measure of central tendency?
3. What is meant by the term outlier?
4. How do you find the mode of a distribution? What if there happens to be two modes?
5. W

Lab 4
1. What are three characteristics of a normal curve?
2. Are distributions always normal?
3. Why do we use standard scores?
4. What is a z score?
5.
Rank the order of the following z scores in terms of distance from the mean: +2, 3, 1,
+1, and 0.
6.

Lab 3
1. Why are measures of central tendency and measures of variability important to a visual
representation of the distribution of data?
2. What is a histogram?
3. What are the four different ways that distributions can be different from one another?
4

Lab 5
1. Define significance level.
The significance level is denoted as alpha or , and is the probability of rejecting the null hypothesis
when it is true.
2. Why can you not be 100% sure that the difference between two groups is not due to chance?
You c

Part II
igma Freud & Descriptive Statistics
Chapter 3
Viva La Difference: Understanding Variability
What You Will Learn in Chapter 3
Why variability is valuable as a descriptive
tool
How to compute the range, the standard
deviation, and the variance
How

Part III
Taking Chances for Fun and Profit
Chapter 8
Are Your Curves Normal? Probability and Why it
Counts
What You Will Learn in Chapter 8
Why understanding probability is basic to
the understanding of statistics
What the normal, or bell-shaped, curve i

Lab 9
1. What is the difference between an ANOVA and a Chi Square test?
2. Why is it best to collect interval level data instead of nominal level data?
3. Which of the following is an assumption about nonparametric tests?
4. How do the selected variables

Part IV
Significantly Different:
Using Inferential Statistics
Chapter 11
t(ea) for Two:
Tests Between the Means of Different Groups
Like z-scores, t-scores
are also a conversion
of individual scores
into a standard form.
However, t-scores are
used when t